The use of microphone arrays for sound-source localization is a well-researched topic. The response of such sensor arrays is dependent on the quantity of microphones operating on the array. A higher number of microphones, however, increase the computational demand, making real-time response challenging. In this paper, we present a Filter-and-Sum based architecture and several acceleration techniques to provide accurate sound-source localization in real-time. Experiments demonstrate how an accurate sound-source localization is obtained in a couple of milliseconds, independently of the number of microphones. Finally, we also propose different strategies to further accelerate the sound-source localization while offering increased angular resolution.
Da Silva Gomez, B, Braeken, A, Steenhaut, K & Touhafi, A 2017, 'Design Considerations When Accelerating an FPGA-Based Digital Microphone Array for Sound-Source Localization', Journal of Sensors, vol. 2017, 6782176, pp. 1-20. https://doi.org/10.1155/2017/6782176
Da Silva Gomez, B., Braeken, A., Steenhaut, K., & Touhafi, A. (2017). Design Considerations When Accelerating an FPGA-Based Digital Microphone Array for Sound-Source Localization. Journal of Sensors, 2017, 1-20. Article 6782176. https://doi.org/10.1155/2017/6782176
@article{ee6c82fe56d1486180c969fdd9543fb3,
title = "Design Considerations When Accelerating an FPGA-Based Digital Microphone Array for Sound-Source Localization",
abstract = "The use of microphone arrays for sound-source localization is a well-researched topic. The response of such sensor arrays is dependent on the quantity of microphones operating on the array. A higher number of microphones, however, increase the computational demand, making real-time response challenging. In this paper, we present a Filter-and-Sum based architecture and several acceleration techniques to provide accurate sound-source localization in real-time. Experiments demonstrate how an accurate sound-source localization is obtained in a couple of milliseconds, independently of the number of microphones. Finally, we also propose different strategies to further accelerate the sound-source localization while offering increased angular resolution.",
author = "{Da Silva Gomez}, Bruno and An Braeken and Kris Steenhaut and Abdellah Touhafi",
year = "2017",
month = jun,
day = "20",
doi = "10.1155/2017/6782176",
language = "English",
volume = "2017",
pages = "1--20",
journal = "Journal of Sensors",
issn = "1687-725X",
publisher = "Hindawi Publishing Corporation",
}